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GitHub / erdincakgun / KalmanFilter
The `KalmanFilter` class implements the Kalman Filter algorithm for estimating the state of linear dynamic systems using noisy measurements. The class accepts system matrices, initial state, and covariance, and provides `predict` and `update` methods for state prediction and refinement based on new observations.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/erdincakgun%2FKalmanFilter
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 20.5 KB
Dependencies:
0
Created: about 1 year ago
Updated: about 1 year ago
Last pushed: about 1 year ago
Last synced: 4 months ago
Topics: control-systems, kalman-filter, linear-dynamic-systems, navigation, noise-filtering, python, robotics, sensor-fusion, signal-processing, state-estimation
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